Back
 CN  Vol.5 No.3 C , September 2013
Performance Analysis of Optical Wireless Communication System Employing Neuro-Fuzzy Based Spot-Diffusing Techniques
Abstract: The spot-diffusing technique provides better performance compared to conventional diffuse system for indoor optical-wireless communication (OWC) system. In this paper, the performance of an OW spot-diffusing communication system using Neuro-Fuzzy (NF) adaptive multi-beam transmitter configuration has been proposed. The multi-beam transmitter generates multiple spots pointed in different directions, hence, forming a matrix of diffusing spots based on position of the receiver and receiver mobility. Regardless of the position of the transmitter and receiver, NF controller target the spots adaptively at the best locations and allocates optimal power to the spots and beam angle are adapted in order to achieve better signal-to-noise plus interference ratio (SNIR). Maximum ratio combining (MRC) is used in the imaging receiver. The proposed OW spot-diffusing communication system is compared with other spot-beam diffusion methods proposed in literature. Performance evaluation revels that the proposed NF based OW spot-diffusing communication system outperforms other spot-beam diffusion methods.
Cite this paper: Mamun, S. , Kaiser, M. , Ahmed, M. , Islam, M. and Islam, M. (2013) Performance Analysis of Optical Wireless Communication System Employing Neuro-Fuzzy Based Spot-Diffusing Techniques. Communications and Network, 5, 260-265. doi: 10.4236/cn.2013.53B2048.
References

[1]   M. S. Kaiser, K. M. Ahmed and R. A. Shah, “Power Allocation in OFDM-based Cognitive Relay Networks, IEEE International Conference on Wireless Communications, Networking and Information Security (WCNIS), 2010, Beijing, China, pp. 202-206, June 2010.

[2]   K. Son, B. C. Jung and D. K. Sung, “Opportunistic Underlay Transmission in Multi-carrier Cognitive Radio Systems. IEEE WCNC 2009, 2009.

[3]   F. R. Gfeller and U. H. Bapst, ”Wireless in-house Data Communication via Diffuse Infrared Radiation,” Proc. IEEE, Vol. 67, No. 11, 1979, pp. 1474-1486. doi:10.1109/PROC.1979.11508

[4]   T. Komine, M. Nakagawa, “A Study of Shadowing on Indoor Visible-Light Wireless Communication Utilizing Plural White LED Lightings,” International Symposium on Wireless Communication, 2004, pp. 36-40.

[5]   M. Z. Afgani, H. Haas, H. Elgala, D. Knipp, ”Visible light Communication Using OFDM,” Proc. IEEE Symp. on Wireless Pervasive Computing, TRIDENTCOM 2006.

[6]   T. Komine and M. Nakagawa, “Fundamental Analysis for Visible-Light Communication System Using LED Lights,” IEEE Transactions On Consumer Electron., Vol. 50, 2004, pp. 100-107.

[7]   M. Akbulut, C. Chen, M. Hargis, A. Weiner, M. Melloch, and J. Woodall, “Digital Communications Above 1 Gb/s Using 890-nm Surface-Emitting Light-Emitting Diodes,” IEEE Photonics Technology Letters, Vol. 13, No. 1, 2001, pp. 85-87. doi:10.1109/68.903229

[8]   F. E. Alsaadi, M. Nikkar and Jaafar M. H. Elmirghani, “Adaptive Mobile Optical Wireless Systems Employing a Beam Clustering Method, Diversity Detection, and Relay Nodes,” IEEE Transactions on Communications, Vol. 58, 2010, No. 3. doi:10.1109/TCOMM.2010.03.080361

[9]   M. T. Alresheedi and J. M. H. Elmirghani, “10 Gb/s Indoor Optical Wireless Systems Employing Beam Delay, Power, and Angle Adaptation Methods with Imaging Dectection,” Journal of Lightwave Technology, Vol. 30, No. 12, 2012.

[10]   M. N. Esfahani and J. M. H. Elmirghani, “A Genetic Algorithm Method for Multi Spot Diffuse Infrared Wireless Communication,” London Communication Symposium, 2009.

[11]   Z. Ghassemlooy and S. Rajbhandari, “Performance of Diffused Indoor Optical Wireless Links Employing Neural and Adaptive Linear Equalizers,” ICICS 2007.

[12]   D. K. Borah1, A. C. Boucouvalas, C. C. Davis, S. Hranilovic and K. Yiannopoulos, “A Review of Communication-oriented Optical Wireless Systems,” EURASIP Journal on Wireless Communications and Networking, 2012 : 91.

 
 
Top